EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are looking for a Senior Machine Learning Engineer to join our team.
In this role, you will be responsible for designing, developing, and deploying machine learning models and algorithms for various applications, including NLP, computer vision, deep learning, and reinforcement learning.

• Design, develop, and deploy machine learning models and algorithms for various applications
• Build and maintain scalable ML pipelines for data processing, model training, and evaluation
• Utilize machine learning frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn to build and fine-tune models
• Work with large datasets to extract meaningful insights and apply statistical analysis
• Implement cloud-based solutions using AWS, Azure, or Google Cloud (GCP) for model deployment, monitoring, and optimization
• Conduct experiments, evaluate models, and iterate based on performance metrics
• Stay up-to-date with the latest research and advancements in machine learning, deep learning, NLP, and other AI technologies

• Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field
• 5+ years experience as a Machine Learning Engineer, Data Scientist, or similar role
• Strong expertise in machine learning, deep learning, neural networks, NLP, computer vision, or reinforcement learning
• Proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, Keras, or Scikit-learn
• Solid understanding of data preprocessing, feature engineering, and model evaluation
• Hands-on experience with cloud computing platforms like AWS, Azure, or Google Cloud (GCP)
• Experience with building and deploying machine learning models in production environments
• B2+ English level proficiency

• Opportunity to work on technical challenges that may impact across geographies
• Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
• Opportunity to share your ideas on international platforms
• Sponsored Tech Talks & Hackathons
• Unlimited access to LinkedIn learning solutions
• Possibility to relocate to any EPAM office for short and long-term projects
• Focused individual development
• Benefit package:
  • Health benefits
  • Retirement benefits
  • Paid time off
  • Flexible benefits
• Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)